Big Data Analysis and Deep Learning Applications

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About this book

This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.

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Keywords

• Big Data Analysis
• Machine Learning
• Monitoring System
• Image Processing
• Conventional Neural Networks
• Industrial Information

Table of contents (42 papers)

Front Matter

Big Data Analysis

Front Matter

Data-Driven Constrained Evolutionary Scheme for Predicting Price of Individual Stock in Dynamic Market Environment

• Henry S. Y. Tang, Jean Hok Yin Lai

Predictive Big Data Analytics Using Multiple Linear Regression Model

• Kyi Lai Lai Khine, Thi Thi Soe Nyunt

Evaluation for Teacher’s Ability and Forecasting Student’s Career Based on Big Data

• Zun Hlaing Moe, Thida San, Hlaing May Tin, Nan Yu Hlaing, Mie Mie Tin

Tweets Sentiment Analysis for Healthcare on Big Data Processing and IoT Architecture Using Maximum Entropy Classifier

• Hein Htet, Soe Soe Khaing, Yi Yi Myint

A Survey on Influence and Information Diffusion in Twitter Using Big Data Analytics

• Radia El Bacha, Thi Thi Zin

Real Time Semantic Events Detection from Social Media Stream

• Phyu Phyu Khaing, Than Nwe Aung

Community and Outliers Detection in Social Network

• Htwe Nu Win, Khin Thidar Lynn

Analyzing Sentiment Level of Social Media Data Based on SVM and Naïve Bayes Algorithms

• Hsu Wai Naing, Phyu Thwe, Aye Chan Mon, Naw Naw

Deep Learning and its Applications

Front Matter

Accuracy Improvement of Accelerometer-Based Location Estimation Using Neural Network

• Noritaka Shigei, Hiroki Urakawa, Yoshihiro Nakamura, Masahiro Teramura, Hiromi Miyajima

Transparent Object Detection Using Convolutional Neural Network

• May Phyo Khaing, Mukunoki Masayuki

Multi-label Land Cover Indices Classification of Satellite Images Using Deep Learning

• Su Wit Yi Aung, Soe Soe Khaing, Shwe Thinzar Aung

Real-Time Hand Pose Recognition Using Faster Region-Based Convolutional Neural Network

• Hsu Mon Soe, Tin Myint Naing

Data Mining and its Applications

Front Matter

School Mapping for Schools of Basic Education in Myanmar

• Myint Myint Sein, Saw Zay Maung Maung, Myat Thiri Khine, K-zin Phyo, Thida Aung, Phyo Pa Pa Tun

GBSO-RSS: GPU-Based BSO for Rules Space Summarization

• Youcef Djenouri, Jerry Chun-Wei Lin, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger

Machine Learning Based Live VM Migration for Efficient Cloud Data Center

• Ei Phyu Zaw

Dynamic Replication Management Scheme for Distributed File System

• May Phyo Thu, Khine Moe Nwe, Kyar Nyo Aye

Other volumes

Big Data Analysis and Deep Learning Applications

Editors and Affiliations

Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences (HVL), Bergen, Norway

About the editors

Thi Thi Zin received her Ph.D. degree in the field of Image Processing in 2007 from Osaka City University, Japan. From 2007 to 2009, she was awarded a postdoctoral research fellowship of Japan Society for the Promotion of Science (JSPS). After the JSPS, she worked as a specially appointed researcher and specially appointed assistant professor at the University of Tokyo and Osaka City University until 2013. In 2016, she became a professor at the Faculty of Engineering, University of Miyazaki, Japan. Her research interests include human behavior understanding, intelligent transportation systems, cow behavior analysis, health care monitoring systems, and image recognition. She is a member of IEEE.

Jerry Chun-Wei Lin is currently an associate professor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), China. He has published more than 200 research papers (90 SCI papers) and international conferences. His research interests include data mining, soft computing, artificial intelligence, social computing, multimedia and image processing, and privacy-preserving and security technologies. He is the Editor-in-Chief of the journal Data Science and Pattern Recognition (DSPR), associate editor of Journal of Network Intelligence, associate editor of Journal of Internet Technology (JIT), and the editorial board member of Intelligent Data Analysis (IDA). He is also the leader of SPMF project, which provides more than 130 data mining algorithms and has been widely cited in many different applications.

Bibliographic Information

• Book Title : Big Data Analysis and Deep Learning Applications
• Book Subtitle : Proceedings of the First International Conference on Big Data Analysis and Deep Learning
• Editors : Thi Thi Zin, Jerry Chun-Wei Lin
• Series Title : Advances in Intelligent Systems and Computing
• DOI : https://doi.org/10.1007/978-981-13-0869-7
• Publisher : Springer Singapore
• eBook Packages : Intelligent Technologies and Robotics , Intelligent Technologies and Robotics (R0)
• Copyright Information : Springer Nature Singapore Pte Ltd. 2019
• Softcover ISBN : 978-981-13-0868-0 Published: 07 June 2018
• eBook ISBN : 978-981-13-0869-7 Published: 06 June 2018
• Series ISSN : 2194-5357
• Series E-ISSN : 2194-5365
• Edition Number : 1
• Number of Pages : XIV, 386
• Number of Illustrations : 190 b/w illustrations
• Topics : Computational Intelligence , Image Processing and Computer Vision , Data Mining and Knowledge Discovery , Artificial Intelligence